LPWC (version 0.99.2)

comp.corr: Computing corr

Description

This function computes the correlation upon picking the best lag and adjusting the data for lags

Usage

comp.corr(data, time, C)

Arguments

data

a matrix with rows representing genes and columns representing different timepoints (NA's added when lags are needed)

time

a vector which contains all the timepoints represented in the data

C

a numeric value of C used in computing weighted correlation

Value

a simmilarity matrix with values between -1 and 1 (1 highly correlated, 0 no correlation)

Examples

# NOT RUN {
comp.corr(array(rnorm(40), c(5, 8)), time = t(array(c(0, 5, 10, 15, 20, 25,
30, 35), c(8, 5))), C = 10)

# }